Spectroscopy and Spectral Analysis, Volume. 37, Issue 10, 3214(2017)

Study on Quantitative Analysis and Spectroscopy Characteristics of Cu in Tobacco by Laser Induced Breakdown Spectroscopy

LU Zhao-hui1、*, CHEN Rui-peng1, MA Liu-zheng1, SUN Hai-feng1, WANG Shun1, CHANG Ke-ke1, GUO Qing-qian1, FENG Xiao-hu2, and HU Jian-dong1,3
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  • 1[in Chinese]
  • 2[in Chinese]
  • 3[in Chinese]
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    The rapid detection and real-time monitoring of plant elements is very important in the field of agriculture. A method using Laser Induced Breakdown Spectroscopy (LIBS) for the determination of the spectroscopy characteristics of Cu in tobacco was evaluated. To perform the calibration curve, several tobacco samples containing Cu arranged from 8.59 to 156.35 μg·g-1 were prepared. The amount of Cu prepared in laboratory was measured using atomic absorption spectroscopy. Experiments indicated that the characteristic spectrum of Cu at the wavelength of 324.75 nm was quite clear, and easy to obtain. From the characteristic spectra obtained from Cu-contained samples, the temperature and density of the plasma induced by laser were calculated to be 39 458.94 K and 0.74×1016, respectively. The fitting curve between the intensity of the spectral lines and the sample concentrations was established with the correlation coefficient (r square) of 0.98 , the mean relative standard deviation (RSD) of 2.59%, the limit of detection (LOD) of 7.72 μg·g-1 and the spectral signal-noise ratio of 7.86. The method was successfully applied to predict the Cu amounts in tobacco samples, which has a potential to be used in cigarette production lines and tobacco breeding.

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    LU Zhao-hui, CHEN Rui-peng, MA Liu-zheng, SUN Hai-feng, WANG Shun, CHANG Ke-ke, GUO Qing-qian, FENG Xiao-hu, HU Jian-dong. Study on Quantitative Analysis and Spectroscopy Characteristics of Cu in Tobacco by Laser Induced Breakdown Spectroscopy[J]. Spectroscopy and Spectral Analysis, 2017, 37(10): 3214

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    Paper Information

    Received: Jul. 22, 2016

    Accepted: --

    Published Online: Dec. 25, 2017

    The Author Email: Zhao-hui LU (zhaohuilulu@163.com)

    DOI:10.3964/j.issn.1000-0593(2017)10-3214-06

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